Triple

T6836145
Position Surface form Disambiguated ID Type / Status
Subject Hieda no Are E157454 entity
Predicate givenName P17 FINISHED
Object Are
Are is the personal name of Hieda no Are, a legendary figure in early Japanese history known for their exceptional memory and role in preserving oral traditions that contributed to the compilation of the Kojiki.
 E622174 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Are | Statement: [Hieda no Are, givenName, Are]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Are
Context triple: [Hieda no Are, givenName, Are]
  • A. ARE
    ARE is the station code for Arendal Station, a railway station in the town of Arendal in Agder county, Norway.
  • B. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • C. ARE
    ARE is the ICAO airline designator assigned to LATAM Airlines Colombia, a major Colombian carrier within the LATAM Airlines Group.
  • D. ar
    ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • E. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Are
Triple: [Hieda no Are, givenName, Are]
Generated description
Are is the personal name of Hieda no Are, a legendary figure in early Japanese history known for their exceptional memory and role in preserving oral traditions that contributed to the compilation of the Kojiki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Are
Target entity description: Are is the personal name of Hieda no Are, a legendary figure in early Japanese history known for their exceptional memory and role in preserving oral traditions that contributed to the compilation of the Kojiki.
  • A. ARE
    ARE is the station code for Arendal Station, a railway station in the town of Arendal in Agder county, Norway.
  • B. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • C. ARE
    ARE is the ICAO airline designator assigned to LATAM Airlines Colombia, a major Colombian carrier within the LATAM Airlines Group.
  • D. ar
    ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • E. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67c1c508190ab39b8aaaaacc628 completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723ffce448190ac8edbaaa1517972 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724b85ec48190ba52ebdcb5cd70db completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:19 p.m.